Taha

Driving Data Excellence

Hello! I'm Taha Rushain, a seasoned Data Engineer and Scientist with over 5 years of hands-on experience in the realm of advanced analytics, data engineering, and data sciences. My expertise lies in crafting sophisticated data pipelines and predictive models, all orchestrated to catalyze data-driven strategies for robust business growth.

Professional Journey

As a Data Engineer Lead, I'm at the forefront of developing and implementing intricate data integration strategies. My role involves designing optimized SQL databases, creating efficient ETL processes, and ensuring the seamless flow of data across platforms. My commitment to optimization and problem-solving is reflected in my meticulous approach to enhancing ETL performance.

In my role as a Lead Data Engineer, I contribute to data integrity and stability by collaborating on ETL tasks. Leveraging tools like IBM Infosphere Datastage, Python, and PySpark orchestrated through Airflow, I craft ETL pipelines that keep data lakes and warehouses pristine. Monitoring data quality and providing actionable insights through comprehensive data analysis is a pivotal aspect of my contribution.

My journey as a Senior Data Scientist was marked by my application of statistical and algebraic techniques to glean meaningful insights from complex data using Python. I maintained model accuracy through thorough testing, embraced feature engineering for enhanced predictability, and employed Python and PowerBI for data visualizations.

I honed my skills in data pipeline development by leveraging tools like Talend and Python, and handling various technologies including Greenplum, Hive, Mysql, PostgreSQL, Parquet, and Snowflake. Notably, I played a vital role in mentoring and guiding junior data engineers.

Educational Prowess and Certifications

My journey began with a Master's degree in Computer Science from the Institute of Business Administration in 2022, followed by a Bachelor's degree in the same discipline in 2016. To augment my knowledge, I pursued certifications in AWS Cloud, Neural Networks and Deep Learning from Coursera, and an Artificial Intelligence Nanodegree from Udacity.

Skillset Snapshot

• Industry Knowledge: Data Warehousing, Data Engineering, Big Data Analytics, Data Sciences
• Tools & Technologies: Big Query, Snowflake, Airflow, Kafka, Docker, AWS (RedShift, S3, EC2, Glue), IBM Infosphere, SSIS, Talend, Git, IBM Cognos, Tableau, MS SQL, MySql, PostgreSQL, DB2, Greenplum, MongoDB, Hive, Java, Python, SQL, PL/SQL, PowerBI

My unwavering commitment to elevating the world of data engineering and sciences is reflected in my dynamic portfolio. From crafting data pipelines that ensure precision to orchestrating predictive models that fuel strategic decisions, I'm passionate about driving innovation and growth through data.